Prior information and variational Bayes in high dimensional statistical network inference

Leiden Repository

Prior information and variational Bayes in high dimensional statistical network inference

Type: Doctoral Thesis
Title: Prior information and variational Bayes in high dimensional statistical network inference
Author: Kpogbezan, G.B.
Issue Date: 2018-12-10
Keywords: Networks reconstruction
High dimensionality
Prior information
Variational Bayes
Bayesian statistics
Abstract: This thesis develops statistical methods for the analysis of high dimensional data: high dimensional networks reconstruction (Chapters 1-4), incorporation of prior information in networks reconstruction (Chapters 2-4), incorporation of prior knowledge in genetic association studies (Chapter 3).
Promotor: Supervisor: Vaart A.W. van der, Wiel M.A. van der Co-Supervisor: Wieringen W.N. van
Faculty: Faculty of Science
University: Leiden University
Handle: http://hdl.handle.net/1887/67526
 

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application/pdf Full text 3.580Mb Under embargo until 2019-12-10
application/pdf Cover 3.388Mb View/Open
application/pdf Title pages_Contents 195.8Kb View/Open
application/pdf Introduction 297.6Kb View/Open
application/pdf Chapter 1 1.081Mb View/Open
application/pdf Chapter 2 1.349Mb View/Open
application/pdf Chapter 3 1.472Mb View/Open
application/pdf Chapter 4 516.5Kb Under embargo until 2019-12-10
application/pdf Bibliography 202.5Kb View/Open
application/pdf Summary in Dutch 171.6Kb View/Open
application/pdf Summary in English 170.7Kb View/Open
application/pdf Acknowledgements_Curriculum Vitae 124.6Kb View/Open
application/pdf Propositions 135.2Kb View/Open

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